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About

Stijn Derammelaere is a robotics researcher whose work bridges the gap between theoretical optimization and practical, real-world robotic systems. His primary research areas include energy-efficient motion planning, nonlinear control, and human-robot collaboration (HRC). Derammelaere’s most notable contribution is his pioneering use of polynomials in the Chebyshev basis for motion planning, a method that significantly reduces computational complexity while maintaining high precision. This approach, detailed in his 2025 paper (7 citations), enables robots to execute complex trajectories with minimal energy consumption—a critical advancement for autonomous and battery-powered systems. In earlier work, he developed a novel model for realtime locomotion control of a snakeboard robot (2018, 5 citations), providing deeper physical insights into underactuated systems. Derammelaere has also explored human-robot interaction, analyzing invariant feature descriptors for eye-tracking applications (2019, 2 citations), allowing robots to interpret human gaze for safer, more intuitive collaboration. His research is characterized by a strong emphasis on practical implementation and physical understanding, making his contributions valuable for both academic researchers and engineers developing next-generation robotic systems.